I read the example of Workbench Time-Series Example. but I am a little confused. I think to use the neural network I should have both the training and the evaluation dataset but what if I would like ...

I'm trying to use Encog library for Neural Networks in Multicharts .NET
I was simply trying to implement the XOR example to make it work in a signal, just as a first attempt to use NN in Multicharts. ...

The NeuralDataSet objects that I've seen in action haven't been anything but XOR which is just two small data arrays... I haven't been able to figure out anything from the documentation on MLDataSet.
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I'm using Encog for .net.
I have trained a feedforward network using RProp/Backprop and I get good results but I'd like to get better ones refining the network by using NEAT (in fact I know that with ...

I have implemented a dimentionality reduction algorithm using ENCOG, that takes a dataset (call it A) with multiple features and reduces it to a dataset (B) with only one feature (I need that for time ...

I've generated 5000 points from -100 to 100 and applied x + cos(x) + e^(sin(10*x)) function to generate some "time series". Then I normalized all the data to fit -1.0..1.0 (actually I tried different ...

I'm currently having a project in which I use ENcog(.net) to classify emg signal, the features is already extracted, when I try to train it, it gets error as the title says.
Here is the code I use :
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I am new to neural network and I'm working with Encog3. I have created feedforward neural network which can be train and tested.
Problem is that I'm not sure how to prevent overfitting. I know I have ...

I am using (encog 3.3.0 library) to build a neural network for image recognition. I have converted my images to 50x50 grayscale to avoid confusion for my neural network because I basically want to do ...

I am trying to train a SVM to classify two spiral data.
My input is a 3 column CSV file, the first two columns are the (x, y)-coordinates of a point on a spiral (not normalised) and the third column ...

I am using encog to do some of my university assignments and I would like to export a list of all the connections in the networks and their associated weights.
I saw the dumpWeights() function that ...

I want to build a neural network with Encog that have 1 input (0/1 or true/false) and 1 ouput (double value) that calculates a mean value if criteria was specified (1 as an input) and 0 if criteria ...

Basically I have a set of normalized data:
First 10 columns are input parameters
Last 3 columns are output parameters
All data has a range values from 0 to 1
There are approximately 2000 records in ...

I have successfully made a neural network using Jeff Heaton's Encog library. I am currently using it to classify (Iris Plants).
The problem I now have is as follows:
I have a dataset CSV file which ...

I am trying to develop an application which might help to forecast a stock market price. In this application i wanted to use
Levenberg–Marquardt (LM) algorithm for training Multilayer Perceptron. But ...

I have a BasicNetwork that I will use in ensemble learning. I appreciate Encog's multithreaded training that it uses by default for neural networks, but how can I configure the network or the trainer ...

I would like to know if training a feed forward neural network with Genetic Algorithms, Particle Swarm Optimization and Simulated Annealing before using resilient propagation training does improve the ...

I have a class that implements ICalculateScore in C# Encog 3.2. The "CalculateScore" method is a long running, CPU intensive task. I would like to make sure that during an iteration, only 1 call to ...